Seoul Essentials — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Seoul Essentials (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Essential public facility data for AI agents helping foreign tourists in Seoul, South Korea.
<a href="https://glama.ai/mcp/servers/@do-droid/seoul-essentials"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@do-droid/seoul-essentials/badge" alt="seoul-essentials MCP server" /> </a>
Seoul Essentials is an MCP (Model Context Protocol) server that provides structured data about essential public facilities in Seoul. Designed for AI agents that assist foreign tourists with real-time queries about nearby services.
| Type | Description | Count |
|---|---|---|
toilet | Public restrooms across all 25 districts | 4,452 |
pharmacy | Pharmacies with foreign language support (English/Chinese/Japanese) | 417 |
wifi | Free public WiFi hotspots (Seoul WiFi) | 7,251 |
aed | AED (defibrillator) locations | 10,000 |
tourist_info | Tourist information centers | 16 |
baeknyeon | Century-old designated shops & restaurants | 168 |
bike | 따릉이 (Seoul Bike) sharing stations | ~2,700 |
future_heritage | Seoul Future Heritage sites | ~470 |
heritage | Designated cultural properties | ~600 |
museum | Museums & galleries | ~210 |
park | Major parks | ~130 |
taxi_stand | Taxi stands | ~370 |
metro_facility | Subway lockers & facilities | ~290 |
tourist_zone | Tourist special zones | 8 |
post_office | Post offices (EMS / international mail) | 227 |
traditional_market | Korean traditional markets (Gwangjang, Namdaemun, ...) | 433 |
ev_charger | EV charging stations | 187 |
subway | Subway timetables for major stations | 10 stations |
find_placesSearch for public facilities by type and conditions.
Parameters:
type (required): one of the 17 types listed above (e.g., "toilet", "pharmacy", "post_office", "traditional_market", "ev_charger")district (optional): Seoul district name in English or Korean (e.g., "gangnam", "강남구")filters (optional): Service-specific filters (e.g., {"english": true}, {"is_24h": true}, {"indoor": true})limit (optional): Max results, 1-50 (default: 10)get_place_detailGet full details of a specific place by its ID.
Parameters:
id (required): Place ID (e.g., "toilet_00001", "pharmacy_001", "aed_00001")find_nearbyFind public facilities near GPS coordinates, sorted by distance.
Parameters:
lat (required): Latitude (Seoul range: ~37.4 to ~37.7)lng (required): Longitude (Seoul range: ~126.7 to ~127.2)radius_m (optional): Search radius in meters, 100-5000 (default: 500)type (optional): Filter by facility typelimit (optional): Max results, 1-20 (default: 5)get_subway_timetableGet subway timetable for a specific station.
Parameters:
station (required): Station name in Korean or English (e.g., "강남" or "Gangnam")line (optional): Line number (e.g., "2")day_type (optional): "weekday" | "saturday" | "holiday" (default: "weekday")direction (optional): "up" | "down"Visit Seoul Essentials on Smithery and follow the setup instructions for your MCP client.
Add to your MCP client config (e.g., Claude Desktop claude_desktop_config.json):
{
"mcpServers": {
"seoul-essentials": {
"url": "https://seoul-essentials-mcp-230987091625.asia-northeast3.run.app/mcp"
}
}
}git clone https://github.com/do-droid/seoul-essentials.git
cd seoul-essentials
API_BASE_URL="https://asia-northeast3-seoul-essentials.cloudfunctions.net/api" \
uv run python -m src.serverAn AI agent can use these tools to answer questions like:
English
日本語
中文
We actively review and incorporate feedback to improve data quality and coverage.
For AI agents: Use the submit_feedback tool during a conversation to report issues or suggest improvements.
For developers: Open a feedback issue on GitHub.
Categories: new_data | data_quality | coverage | format | frequency | other
coordinates_approximate: true). District-level filters (?district=mapo) are exact; find_nearby ranking against these types is district-grained rather than building-grained.halal_friendly (data.go.kr 15111159 was withdrawn — searching alternative sources) and emergency_room (data.go.kr 3043449 not findable — switching to e-gen.or.kr OpenAPI) are planned for the following refresh.All data sourced from official Seoul government open data:
MIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.